Genome-wide methylation profiles reveal quantitative views of human aging rates.
Level 4 - case-series / case-control
Cross-sectional epigenetic biomarker modeling study in human tissue samples.
PubMed 23177740 · doi:10.1016/j.molcel.2012.10.016
What was done
Authors built a quantitative model of human aging using DNA methylation profiling across more than 450,000 CpG markers from whole blood samples of 656 human individuals aged 19 to 101. They evaluated the model's ability to measure individual methylome aging rates and tested associations with sex, genetic variants, gene expression (transcriptome), non-blood tissues, and tumor tissue.
What was found
The whole-blood methylation model measured human methylome aging rates across the age span of 19 to 101 years. Methylome aging rates were influenced by sex and genetic variants, correlated with epigenetic drift and transcriptomic changes, generalized to other human tissues, and revealed accelerated aging in tumor tissue. The abstract reports no numerical metrics, correlation coefficients, or effect sizes.
Why it matters
This study introduced one of the foundational genome-wide epigenetic clocks, showing that DNA methylation patterns provide a quantitative readout of biological aging rates and tissue-specific age acceleration.
Limits
The abstract reports no numerical performance metrics (such as error rates or correlation with chronological age) or effect sizes. The primary model was developed on cross-sectional data rather than longitudinal follow-up, and the health status or demographic details of the 656 individuals are not specified in the abstract.
Cited by
- supports Epigenetic DNA methylation patterns in blood cells allow researchers to predict a person's chronological age within plus or minus five years.